Skip to main content

DIFERENTIAL-GEOMETRIC METHODS IN STATISTICAL INFERENCE

Objective



This project concerns the application of differential and integral geometry (branches of pure mathematics) to statistics. Its aims are (i) to provide further insight into the basis of recent developments in statistical theory by increasing our theoretical understanding of both the fundamental structure of some large classes of statistical models and the basic mathematical machinery underlying much statistical inference; (ii) to develop further and to enlarge (by removing various assumptions) the range of applicability of novel statistical methods based on this theory, and (iii) to use the new tool of computer algebra to construct a package which will automate the application of these developments and give the general scientist a practical tool for the reliable analysis of small samples of data, without having to make unrealistic assumptions.

Funding Scheme

CSC - Cost-sharing contracts

Coordinator

UNIVERSITY OF AARHUS
Address
1,Nordre Ringgade 1-3
8000 Aarhus C
Denmark

Participants (4)

AALBORG UNIVERSITY
Denmark
Address
57,Frederic Bajers Vej 5
9220 Aalborg
UNIVERSITE PAUL SABATIER DE TOULOUSE III
France
Address
Route De Narbonne 118
31062 Toulouse
UNIVERSITY OF ST ANDREWS
United Kingdom
Address
College Gate, 66 North Street
KY16 9AH St Andrews
University of Warwick
United Kingdom
Address
Gibbet Hill Road
CV4 7AL Coventry